Top Data & Analytics Jobs in Pittsburgh, PA

The Fraud Model Analyst supports analytical tasks involving structured/unstructured data, develops algorithms using statistical techniques, and presents insights using visualization technologies.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

As a Data Expert, you will define data strategy, build a data quality platform, develop rules, and improve data management across PNC's Technology organization.

The role involves aligning client data strategies to business objectives, utilizing modern cloud environments and developing analytics-driven strategies to drive growth.

The Senior Data Governance Analyst manages data governance programs, ensuring data lineage, quality controls, and compliance with established standards while collaborating with technical and business teams.

The Cost and Project Management Analyst I supports financial data accuracy across systems, maintains SQL queries and dashboards, and assists users in finance processes.

The Quantitative Analyst III designs and maintains financial models using statistical methods, develops pricing tools, collaborates with teams, and communicates findings to stakeholders.

Support data governance implementation by collaborating with business units to ensure compliance with data quality standards and governance policies. Facilitate lineage analysis and serve as a subject matter expert on data management practices.

The Master Data Senior Analyst maintains data integrity, supports business decisions through analytics, and coordinates data quality practices in a supply chain context.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.

The Sr. Data Engineer will design, implement, and optimize data solutions in Snowflake, collaborate with clients, and mentor junior engineers.

The Scientific Implementation Associate works with R&D teams to onboard customers, configure scientific workflows on the Uncountable platform, and improve data accessibility for experiments.